Triple

T3728898
Position Surface form Disambiguated ID Type / Status
Subject Book of Dede Korkut E79013 entity
Predicate placeOfManuscriptDiscovery P3985 FINISHED
Object Dresden E37454 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dresden | Statement: [Book of Dede Korkut, placeOfManuscriptDiscovery, Dresden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dresden
Context triple: [Book of Dede Korkut, placeOfManuscriptDiscovery, Dresden]
  • A. Dresden
    Dresden is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known historically for its role in the Underground Railroad and Black settlement.
  • B. Dresden chosen
    Dresden is a historic cultural and economic center in eastern Germany, renowned for its baroque architecture, art collections, and reconstruction after World War II.
  • C. Leipzig
    Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
  • D. Chemnitz
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • E. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfManuscriptDiscovery
Context triple: [Book of Dede Korkut, placeOfManuscriptDiscovery, Dresden]
  • A. originalManuscriptLocation
    Indicates the place where the original version of a manuscript is physically kept or stored.
  • B. wasDiscoveredAt chosen
    Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
  • C. inscriptionsFoundAt
    Indicates that inscriptions are discovered or located at a particular place or site.
  • D. wasDiscoveredIn
    Indicates that an entity became known or was first identified during a specific time period or at a particular place.
  • E. locatedAtTimeOfDiscovery
    Indicates the place where something was situated at the moment it was first discovered.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb17432881909390284b935ed3fd completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba392ad08190a66ccf58edecb722 completed March 21, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69adc0452f5081909c79e114a86cce8c completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.